| Package | Description |
|---|---|
| opennlp.tools.chunker |
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
|
| opennlp.tools.ml | |
| opennlp.tools.ml.model | |
| opennlp.tools.namefind |
Package related to finding proper names and numeric amounts.
|
| opennlp.tools.parser |
Package containing common code for performing full syntactic parsing.
|
| opennlp.tools.postag |
Package related to part-of-speech tagging.
|
| opennlp.tools.util |
Package containing utility data structures and algorithms used by multiple other packages.
|
| Modifier and Type | Class and Description |
|---|---|
class |
DefaultChunkerSequenceValidator |
| Modifier and Type | Method and Description |
|---|---|
SequenceValidator<String> |
ChunkerFactory.getSequenceValidator() |
| Constructor and Description |
|---|
ChunkerME(ChunkerModel model,
int beamSize,
SequenceValidator<String> sequenceValidator)
Deprecated.
Use
ChunkerME.ChunkerME(ChunkerModel, int) instead
and use the ChunkerFactory to configure the SequenceValidator. |
ChunkerME(ChunkerModel model,
int beamSize,
SequenceValidator<String> sequenceValidator,
ChunkerContextGenerator contextGenerator)
Deprecated.
Use
ChunkerME.ChunkerME(ChunkerModel, int) instead
and use the ChunkerFactory to configure the SequenceValidator and ChunkerContextGenerator. |
| Modifier and Type | Method and Description |
|---|---|
Sequence |
BeamSearch.bestSequence(T[] sequence,
Object[] additionalContext,
BeamSearchContextGenerator<T> cg,
SequenceValidator<T> validator) |
Sequence[] |
BeamSearch.bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext,
BeamSearchContextGenerator<T> cg,
SequenceValidator<T> validator) |
Sequence[] |
BeamSearch.bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext,
double minSequenceScore,
BeamSearchContextGenerator<T> cg,
SequenceValidator<T> validator)
Returns the best sequence of outcomes based on model for this object.
|
| Modifier and Type | Method and Description |
|---|---|
Sequence |
SequenceClassificationModel.bestSequence(T[] sequence,
Object[] additionalContext,
BeamSearchContextGenerator<T> cg,
SequenceValidator<T> validator)
Finds the sequence with the highest probability.
|
Sequence[] |
SequenceClassificationModel.bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext,
BeamSearchContextGenerator<T> cg,
SequenceValidator<T> validator)
Finds the n most probable sequences.
|
Sequence[] |
SequenceClassificationModel.bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext,
double minSequenceScore,
BeamSearchContextGenerator<T> cg,
SequenceValidator<T> validator)
Finds the n most probable sequences.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BilouNameFinderSequenceValidator |
class |
NameFinderSequenceValidator |
| Modifier and Type | Method and Description |
|---|---|
SequenceValidator<String> |
BilouCodec.createSequenceValidator() |
| Constructor and Description |
|---|
NameFinderME(TokenNameFinderModel model,
AdaptiveFeatureGenerator generator,
int beamSize,
SequenceValidator<String> sequenceValidator)
Deprecated.
the beam size is now configured during training time in the
trainer parameter file via beamSearch.beamSize
|
| Modifier and Type | Class and Description |
|---|---|
class |
ParserChunkerSequenceValidator |
| Modifier and Type | Method and Description |
|---|---|
SequenceValidator<String> |
ParserChunkerFactory.getSequenceValidator() |
| Modifier and Type | Class and Description |
|---|---|
class |
DefaultPOSSequenceValidator |
| Modifier and Type | Method and Description |
|---|---|
SequenceValidator<String> |
POSTaggerFactory.getSequenceValidator() |
| Modifier and Type | Method and Description |
|---|---|
SequenceValidator<T> |
SequenceCodec.createSequenceValidator()
Creates a sequence validator which can validate a sequence of outcomes.
|
| Constructor and Description |
|---|
BeamSearch(int size,
BeamSearchContextGenerator<T> cg,
MaxentModel model,
SequenceValidator<T> validator,
int cacheSize) |
Copyright © 2015 The Apache Software Foundation. All rights reserved.